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Make Your Data Speak the Language of Your Business

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Empower Citizen Data Scientists and Analysts to Build their Own Data Products

Democratize access to data, analytics, and insights while enabling centralized governance and consistency.

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Speed of Thought Analytics Performance

Deliver interactive business analytics for cloud data sets of any size and complexity to the BI tool of your choice with no data extracts.

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Bridge Data Science and AI/ML with Business Intelligence

AtScale empowers ML data pipelines with flexibility, control, and stability. It also lets AI-generated insights reach broader audiences with direct integration to business intelligence.

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Diagram showing the AtScale Semantic Layer being used in an ML data pipeline
AtScale Co-Founder Dave Mariani Video player icon
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To reach AtScale’s level of efficiency and speed, we would have needed to devote significant time and resources to building aggregates by hand.

Mark Stange-Tregear

VP of Analytics, Rakuten Rewards

With AtScale, users can run live queries, straight to Google BigQuery at great speeds. It is not something that we saw anyone else able to deliver.

Maurice Lacroix

BI Product Owner, bol.com

AtScale’s capabilities seamlessly deliver interactive query response times while minimizing load and concurrency across all of our operational data.

Chad Wahlquist

Director, Data Strategy and Analytics Technology Platforms

Customer Story

Tyson Foods

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Analytics Modernization at Fortune 100 Multinational Food Producer, Tyson Foods

AtScale partnered with the data team at Tyson to ensure continuity of BI and reporting through the transition from Hadoop to Amazon RedShift and ultimately to Google BigQuery. Along the way, Tyson leveraged the AtScale semantic layer to lay the foundational building blocks to enable self-service BI and respond more nimbly to change.

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Delivering Business Impact

AtScale complements investments in modern cloud data platforms by accelerating BI workloads, simplifying creation of complex queries, and virtualizing analytics and AI/ML data pipelines.

Acceleration in BI Query Speed

8X

Reduction in Compute Consumption

3X

Reduced Time to Insight

10X

Improved Resource Productivity

4X

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